Breaking The Bottleneck: Automating Health Risk Assessment To Empower Care Teams Using Agentic Artificial Intelligence

Abstract

The conventional approaches to health risk assessment used in healthcare organizations are increasingly becoming a burden to these organizations, with questionnaires, infrequent reviews by clinicians, and data systems that hold only isolated pieces of information about the health journey of patients. Care managers waste too much time in manual data collection and redundancy in questioning, instead of concentrating on therapeutic relationships with patients and the coordination of care. The solution of agentic artificial intelligence is disruptive as it will interact autonomously with patients by means of conversational interfaces, combine real-time data from various sources (wearables and health applications), and continuously update risk profiles. These smart systems liberate care team workloads, collect dynamic health indicators like sleep behaviors and heart rate variability, personalized measurements, and provide proactive notifications if a risk threshold has been met. The implementation offers a lot of benefits, such as an increased capacity of care managers, earlier identification of health decline, enhanced comprehensiveness of assessment, patient burden, and proactive risk management, which can be scaled. Nonetheless, to be deployed successfully, data privacy and security, mitigating algorithmic bias, encouraging an uninterrupted clinical workflow, preserving human oversight, overcoming the digital divide by hybrid solutions, and strict regulatory adherence are to be taken into account. The merging of artificial and human intelligence in health risk assessment is sure to radically remodel the care delivery, enabling it to intervene earlier, with more personalized care plans, and even better outcomes at a reduced cost in the value-based healthcare setting.